菌血症
鲍曼不动杆菌
流行病学
医学
不动杆菌
真菌血症
内科学
肺炎克雷伯菌
金黄色葡萄球菌
铜绿假单胞菌
微生物学
抗生素
生物
外科
真菌病
细菌
大肠杆菌
遗传学
基因
生物化学
作者
Jiewei Cui,Meng Li,Jiemin Cui,Juan Wang,Xiaofei Qiang,Zhixin Liang
出处
期刊:Infection
[Springer Nature]
日期:2021-06-28
卷期号:50 (1): 121-130
被引量:14
标识
DOI:10.1007/s15010-021-01649-y
摘要
Abstract Background Recent epidemiological studies on bloodstream infection (BSI) that include the proportion, species distribution and dynamic changes are scarce in China. This study was performed to understand these epidemiological data of BSI over the past 10 years in China. Methods Using a prospective nosocomial infection surveillance system, this study was retrospectively performed in one of the largest hospitals in China. The time trend was tested using the Cochran–Armitage trend test in R Programming Language. Results From 2010 to 2019, there were totally 9381 episodes of BSI cases out of 1,437,927 adult-hospitalized patients in the hospital, the total proportion of BSI cases was 6.50‰ (6.50 episodes per 1000 adult-hospitalized patients) and the proportion had significantly decreased (8.24–6.07‰, time trend P < 0.001). Among the 9381 episodes of BSI, 93.1% were bacteremia and others were fungemia (6.9%). As the most common species, the composition ratios of coagulase-negative staphylococcus (25.6–32.5%), Escherichia coli (9.8–13.6%) and Klebsiella pneumoniae (5.3–10.4%) had been dynamically increased (all time trends P < 0.05) and the proportion of Pseudomonas aeruginosa had decreased (4.0–2.4%, time trend P = 0.032). However, Staphylococcus aureus (3.3–3.1%) and Acinetobacter baumannii (4.4–4.2%) had not changed significantly ( P > 0.05). These common species were consistent with China Antimicrobial Surveillance Network reported in 2018 (2018 CHINET report), but their composition ratios were different. In addition, among bacteremia, the proportion of multidrug-resistant bacteria gradually increased from 52.9 to 68.4% (time trend P < 0.001). Conclusion The proportion and species distribution of BSI were dynamically changing along certain trends. These trends deserved more attention from clinicians and researchers.
科研通智能强力驱动
Strongly Powered by AbleSci AI